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Here is the code for the persistStudent method Because it s fairly straightforward, it s presented in its entirely without narration (please read the inline comments for details) // Persist the state of a Student This method writes out all of the // student's information to his/her ssndat file when he/she logs off // Once again, we use a custom Exception type -// StudentPersistenceException -- to signal problems public static void persistStudent(Student s) throws StudentPersistenceException { FileOutputStream fos = null; PrintWriter pw = null; // Formulate the name of the file to be written to String pathToFile = sgetSsn() + "dat"; try { // Attempt to create the ssndat file Note that // it will OVERWRITE one with a similar name if such a // file already exists, which is precisely what we // want to have happen.

Listing 8-26. HAVING Clause Example select from group having deptno, count(empno) employees by deptno count(*) >= 4;

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To use a database table as your cache back-end, create a cache table in your database and point Django s cache system at that table. First, create a cache table by running this command: python manage.py createcachetable [cache_table_name] where [cache_table_name] is the name of the database table to create. This name can be whatever you want, as long as it s a valid table name that s not already being used in your database. This command creates a single table in your database that is in the proper format Django s database-cache system expects. Once you ve created that database table, set your CACHE_BACKEND setting to "db://tablename", where tablename is the name of the database table. In this example, the cache table s name is my_cache_table: CACHE_BACKEND = 'db://my_cache_table' The database caching back-end uses the same database as specified in your settings file. You can t use a different database back-end for your cache table.

fos = new FileOutputStream(pathToFile); pw = new PrintWriter(fos); // First, we output the primary/header record as a // tab-delimited record pwprintln(sgetSsn() + "\t" + sgetName() + "\t" + sgetMajor() + "\t" + sgetDegree()); // Then, we'll output one secondary record for every // Section that the Student is enrolled in Collection<Section> sections = sgetEnrolledSections(); for (Section sec : sections) { pwprintln(secgetFullSectionNo()); }.

DEPTNO COUNT(EMPNO) -------- -----------20 5 30 6 However, the SQL language allows you to write queries with a HAVING clause without a preceding GROUP BY clause. In that case, Oracle assumes an implicit GROUP BY on a constant expression, just as when you use group functions in the SELECT clause without specifying a GROUP BY clause; that is, the full table is treated as a single group.

pw.close(); } catch (IOException e) { // Signal that an error has occurred. throw new StudentPersistenceException("Error saving student " + "information to file " + pathToFile); } } }

To store cached items on a filesystem, use the "file://" cache type for CACHE_BACKEND, specifying the directory on your filesystem that should store the cached data. For example, to store cached data in /var/tmp/django_cache, use this setting: CACHE_BACKEND = 'file:///var/tmp/django_cache' Note that there are three forward slashes toward the beginning of the preceding example. The first two are for file://, and the third is the first character of the directory path, /var/tmp/ django_cache. If you re on Windows, put the drive letter after the file://, like so: file://c:/ foo/bar. The directory path should be absolute that is, it should start at the root of your filesystem. It doesn t matter whether you put a slash at the end of the setting. Make sure the directory pointed to by this setting exists and is readable and writable by the system user under which your Web server runs. Continuing the preceding example, if your server runs as the user apache, make sure the directory /var/tmp/django_cache exists and is readable and writable by the user apache. Each cache value will be stored as a separate file whose contents are the cache data saved in a serialized ( pickled ) format, using Python s pickle module. Each file s name is the cache key, escaped for safe filesystem use.

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